Triple
T18821955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Widow (2021) film score |
E460282
|
entity |
| Predicate | chronologicalPositionInMCU |
P63473
|
FINISHED |
| Object | early Phase Four score |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: early Phase Four score | Statement: [Black Widow (2021) film score, chronologicalPositionInMCU, early Phase Four score]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologicalPositionInMCU Context triple: [Black Widow (2021) film score, chronologicalPositionInMCU, early Phase Four score]
-
A.
chronologicalPosition
Indicates the relative ordering of one event or entity in time with respect to another.
-
B.
eraInCanon
chosen
Indicates that a subject belongs to, occurs within, or is classified as part of a specific era defined in a canon or fictional continuity.
-
C.
chronologicalPositionInLabors
Indicates the specific order or sequence in which a given labor occurs within a defined series of labors.
-
D.
chronologicalOrderInSeries
Indicates that one entity appears earlier or later than another within an ordered sequence or series.
-
E.
seriesOrderOfFirstAppearance
Indicates the position in which an entity first appears within a series, relative to other entities in that same series.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6ba90988190a93e1c2fa23b3d1d |
completed | April 20, 2026, 4:08 a.m. |
| PD | Predicate disambiguation | batch_69e48d1b10ec8190985c6fb5766ff981 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:55 a.m.